AI for education grounded in institutional truth
Students expect fast answers on financial aid deadlines; faculty juggle prep, accessibility accommodations, and integrity concerns. Effective AI cites catalog pages, LMS syllabi, and official policies—then escalates ambiguous cases to staff. We build campus assistants, instructor copilots for lesson planning and rubric drafting (with human review), and operations support for registrars and advancement teams, aligned to your academic norms—not viral chatbots that invent degree requirements.
- Applicants and students get consistent answers on requirements, holds, and key dates from governed sources
- Instructors draft activities and reading guides that map to stated learning outcomes they edit before publish
- Accessibility teams accelerate caption review and alt text workflows with human QC checkpoints
We coordinate with your IRB, accessibility, and records offices on scope appropriate to your sector.
Education AI missteps
Failure modes
Wrong tuition figures, fabricated citations, unchecked tutoring that completes graded work, and data sharing beyond FERPA comfort.
Better path
Retrieval on approved corpora, faculty workflows, integrity modes, subprocessors disclosed, and staged pilots with measurement.
Where institutions start
1) Campus and applicant services
Deadlines, prerequisites, and common forms—hand off to staff when anxiety signals or policy edge cases appear.
2) Instructor planning assist
Lesson outlines, quiz idea banks, and reading summaries instructors validate against course goals.
3) Tutoring and study support (governed)
Socratic modes that cite course materials where licenses allow—integrity rules set by the institution.
4) Operations and administration
Registrar copilots, IR reporting drafts reviewed by SMEs, and alumni engagement assist with consent-aware segmentation.
5) Research enablement (non-autonomous)
Literature summarization with explicit source links; researchers remain responsible for verification and attribution ethics.
Privacy and integrity
Age gates, parental consent where needed, subprocessors listed, and opt-outs your community expects. We do not promise compliance—we implement controls your counsel reviews.
Campus Q and A
Cheating risk?
Design modes and policies; institution owns integrity.
Student data?
FERPA-aligned minimization and contracts.
First pilot?
Official FAQs or faculty-only syllabus assist.
Train on our IP?
Default: no foundation training on your content.
Design an institution-ready AI program
Share your LMS, SIS, regions, and policy stakeholders—we map pilots they can approve.
Related: Public sector AI · All use cases · RAG checklist · Services